IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/21733.html
   My bibliography  Save this paper

S&P 500 returns revisited

Author

Listed:
  • Kitov, Ivan
  • Kitov, Oleg

Abstract

The predictions of the S&P 500 returns made in 2007 have been tested and the underlying models amended. The period between 2003 and 2008 should be described by the dependence of the S&P 500 stock market index on real GDP because the population pyramid was highly inaccurate. The 2008 trough and 2009 rally are well predicted by the original model, however. The rally will end in March/April 2010 and the S&P 500 level will be decreasing into 2011. This prediction should validate the model.

Suggested Citation

  • Kitov, Ivan & Kitov, Oleg, 2010. "S&P 500 returns revisited," MPRA Paper 21733, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:21733
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/21733/1/MPRA_paper_21733.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ivan O. KITOV, 2009. "The Evolution Of Real Gdp Per Capita In Developed Countries," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(2(8)_ Sum).
    2. Ivan O. KITOV & Oleg I. KITOV & Svetlana A. DOLINSKAYA, 2009. "Modelling Real Gdp Per Capita In The Usa:Cointegration Tests," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(1(7)_ Spr).
    3. Kitov, Ivan & Kitov, Oleg, 2007. "Exact prediction of S&P 500 returns," MPRA Paper 6056, University Library of Munich, Germany.
    4. Ivan O. KITOV, 2010. "Predicting Real Economic Growth In France, Germany, New Zealand, And The United Kingdom," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 5(1(11)_Spr), pages 48-54.
    5. Kitov, Ivan & Kitov, Oleg & Dolinskaya, Svetlana, 2008. "Comprehensive macro-model for the U.S. economy," MPRA Paper 9808, University Library of Munich, Germany.
    6. David F. Hendry & Katarina Juselius, 2001. "Explaining Cointegration Analysis: Part II," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 75-120.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ivan O. KITOV, 2010. "Predicting Real Economic Growth In France, Germany, New Zealand, And The United Kingdom," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 5(1(11)_Spr), pages 48-54.
    2. Kitov, Ivan & Kitov, Oleg, 2009. "Modelling and predicting labor force productivity," MPRA Paper 15152, University Library of Munich, Germany.
    3. Kitov, Ivan & Kitov, Oleg, 2012. "Real GDP per capita since 1870," MPRA Paper 39021, University Library of Munich, Germany.
    4. Kitov, Ivan, 2009. "Predicting real GDP per capita in France, Germany, New Zealand, and the UK," MPRA Paper 15503, University Library of Munich, Germany.
    5. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    6. António Duarte, 2009. "The Portuguese Disinflation Process: Analysis of Some Costs and Benefits," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 16(1), pages 157-173, May.
    7. Takamitsu Kurita, 2007. "A dynamic econometric system for the real yen–dollar rate," Empirical Economics, Springer, vol. 33(1), pages 115-149, July.
    8. Ivan Kitov & Oleg Kitov, 2013. "Does Banque de France control inflation and unemployment?," Papers 1311.1097, arXiv.org.
    9. Rangan Gupta & Josine Uwilingiye, 2008. "Measuring The Welfare Cost Of Inflation In South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 76(1), pages 16-25, March.
    10. Monika Zimmermann & Florian Ziel, 2024. "Efficient mid-term forecasting of hourly electricity load using generalized additive models," Papers 2405.17070, arXiv.org.
    11. Dutrénit, Gabriela & Natera, José Miguel & Puchet Anyul, Martín & Vera-Cruz, Alexandre O., 2019. "Development profiles and accumulation of technological capabilities in Latin America," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 396-412.
    12. Ruixiaoxiao Zhang & Geoffrey QP Shen & Meng Ni & Johnny Wong, 2020. "The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy," Energy & Environment, , vol. 31(2), pages 215-236, March.
    13. John T. Cuddington & Leila Dagher, 2015. "Estimating Short and Long-Run Demand Elasticities: A Primer with Energy-Sector Applications," The Energy Journal, , vol. 36(1), pages 185-210, January.
    14. Kitov, Ivan & Kitov, Oleg, 2007. "Exact prediction of S&P 500 returns," MPRA Paper 6056, University Library of Munich, Germany.
    15. Shawkat Hammoudeh & Eisa Aleisa, 2004. "Dynamic Relationships among GCC Stock Markets and Nymex Oil Futures," Contemporary Economic Policy, Western Economic Association International, vol. 22(2), pages 250-269, April.
    16. Chowdhury, Rosen & Cook, Steve & Watson, Duncan, 2023. "Reconsidering the relationship between health and income in the UK," Social Science & Medicine, Elsevier, vol. 332(C).
    17. David F. Hendry & Grayham E. Mizon, 2016. "Improving the teaching of econometrics," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1170096-117, December.
    18. Deebii Nwiado & Lezaasi LeneeTorbira, 2016. "A Panel Data Analysis of the Validity of Uncovered Interest Rate Parity (UIRP) in Selected African Countries," Research in World Economy, Research in World Economy, Sciedu Press, vol. 7(2), pages 15-25, December.
    19. Eva Liljeblom & Sabur Mollah & Patrik Rotter, 2015. "Do dividends signal future earnings in the Nordic stock markets?," Review of Quantitative Finance and Accounting, Springer, vol. 44(3), pages 493-511, April.
    20. Wang, Xiaolei & Lin, Boqiang, 2016. "How to reduce CO2 emissions in China׳s iron and steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1496-1505.

    More about this item

    Keywords

    S&P 500; returns; prediction; population pyramid; GDP;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • D4 - Microeconomics - - Market Structure, Pricing, and Design

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:21733. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.